1. Department of Clinical Pharmacology， Beijing Friendship Hospital Affiliated to the Capital University of Medical Sciences， Beijing 100050， China；2. Department of Mathematics & Computer， Nanjing Medical University， Nanjing 210029， China
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History+
Received
Revised
Published
2012-01-01
2012-01-01
2012-01-01
Issue Date
2010-06-15
Abstract
OBJECTIVE To build a predictive model constructed by artificial neural network， and to adjust administration of cyclosporine A (CsA) individually. METHODS The cases of kidney transplantation were collected. Influence factors on concentration and dosage of cyclosporine A were analyzed and model factors were determined. A scheme of two chained dosage prediction models was established by GA-BP algorithm, and some samples were used to validate the model. RESULTS A tentative program for individual administration was compiled. The predictive doses of cyclosporine A for 10 patients (30 points in all) demonstrated that the deviation of majority of them（23/30）was below 15% and some of them（17/30） was below 10%， compared with actual doses. CONCLUSION An individual administration of cyclosporine A could be attempted by artificial neural network.
YU Jun-xin;SHI Li-min;WNG Ru-long;LI Shn;XI Jie;CHENG Sheng;WEN i-ping;WEI Hong-to.
Individual Administration Model for Cyclosporine A Established Using Artificial Neural Network[J]. Chinese Pharmaceutical Journal, 2010, 45(12): 927-930
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References
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